DevOps Engineer

Black Book; Lawrenceville (GA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

HSA contributions

Paid time off

Volunteer days

Job summary

Black Book, part of Hearst Transportation, seeks a Mid-to-Senior DevOps Engineer to own cloud platforms and CI/CD automation. You will build and operate scalable AWS/Kubernetes infrastructure, enhance automation, and drive shift-left practices with cross-functional teams.

The role focuses on automating, troubleshooting, and owning solutions from idea through production, with a strong emphasis on observability, security, and cost efficiency across environments.

Qualifications

• 3+ years in DevOps or cloud infrastructure operations.
• Experience with AWS and Kubernetes.
• Experience with CI/CD pipelines and automation.
• Proficiency in Python, PowerShell, or Bash.

Responsibilities

• Build and operate AWS and Kubernetes infrastructure.
• Develop and maintain Infrastructure as Code and automation.
• Improve CI/CD workflows and GitOps.
• Automate operational tasks with Python, PowerShell, Bash, or similar tools.
• Troubleshoot production issues across applications, containers, networking, and cloud infrastructure.
• Improve observability, reliability, security, performance, and cost efficiency.
• Partner with development and data teams to promote DevOps and shift-left practices.
• Participate in incident response and help eliminate root causes.
• Document solutions, share knowledge, and mentor teammates.
• Support customer-impacting issues when needed.

Skills

Cloud infra

DevOps

Automation

Troubleshooting

Teamwork

Tools

Pulumi

Terraform

Kubernetes

Docker

Argo CD

Azure DevOps

Python

PowerShell

Bash

Linux

Windows

Grafana

Job description

Job Description

Black Book is looking for a Mid-to-Senior DevOps Engineer with a minimum of 3 years' experience in DevOps and Cloud Infrastructure Operations to help build, automate, and operate the CI/CD and cloud platforms that support our automotive data and technology products.

Job Description

Black Book is looking for a Mid-to-Senior DevOps Engineer with a minimum of 3 years' experience in DevOps and Cloud Infrastructure Operations to help build, automate, and operate the CI/CD and cloud platforms that support our automotive data and technology products.

As part of the Hearst Transportation group, Black Book combines automotive expertise, data science, predictive analytics, APIs, and modern cloud technology to help dealerships, lenders, OEMs, insurers, fleet operators, and other automotive businesses make better decisions.

You'll work closely with software engineers, data engineers, data scientists, and analysts to improve how applications and infrastructure are built, deployed, monitored, and supported.

This is not a ticket-driven infrastructure role. We're looking for an engineer who enjoys automation, troubleshooting complex problems, improving platforms, and taking ownership from idea through production.

Our environment includes:

AWS

• Kubernetes/EKS
• Pulumi
• Argo CD
• Azure DevOps
• Python
• PowerShell
• Bash
• Linux
• Windows
• Grafana
• AI Engineering Tools

Responsibilities

• Build and operate highly available AWS and Kubernetes infrastructure.
• Develop and maintain Infrastructure as Code and automation.
• Improve CI/CD and GitOps workflows.
• Automate operational tasks with Python, PowerShell, Bash, or similar tools.
• Troubleshoot production issues across applications, containers, networking, and cloud infrastructure.
• Improve observability, reliability, security, performance, and cost efficiency.
• Partner with development and data teams to promote DevOps and shift-left practices.
• Participate in incident response and help eliminate root causes.
• Document solutions, share knowledge, and mentor teammates.
• Support customer-impacting issues when needed.

Qualifications

AI-Native Engineering

We expect our engineers to be highly effective with modern AI development and engineering tools.

That means going beyond basic prompting or code completion. You should be comfortable using tools such as Claude Code and similar AI agents to accelerate development, troubleshooting, automation, documentation, and research.

We value engineers who can:

• Give agents clear context, constraints, and acceptance criteria.
• Build reusable skills, hooks, instructions, and workflows.
• Connect agents to appropriate tools, repositories, APIs, and documentation.
• Use automated validation and guardrails around agent-driven work.
• Critically review AI-generated code, infrastructure, and recommendations.
• Understand the security implications of agent access and permissions.
• Recognize when AI is the right tool - and when it isn't.

We view AI as an engineering multiplier, not a substitute for engineering judgment.

What We're Looking For

• Experience building or supporting production cloud infrastructure.
• Strong AWS knowledge or experience with another major cloud provider.
• Experience with Infrastructure as Code such as Pulumi, Terraform, CloudFormation, or Ansible.
• Experience with Docker and Kubernetes.
• Experience building or maintaining CI/CD pipelines.
• Ability to automate using Python, PowerShell, Bash, or another programming language.
• Experience with Linux and/or Windows environments.
• Strong troubleshooting and problem-solving skills.
• Understanding of CI/CD, automation, and shift-left engineering practices.
• Ability to work independently while collaborating effectively with others.
• Strong communication, ownership, and technical judgment.

Nice to Have

Experience with any of the following is helpful, but not required:

Kubernetes/EKS, Helm, Argo CD, Datadog, Grafana, Prometheus, networking and DNS, REST or GraphQL APIs, .NET, Node.js, Python development, DevSecOps, SRE practices, MCP servers, or AI agent/tool integrations.

How We Work

We value engineers who:

• Shift left and automate recurring problems.
• Own outcomes, not just assigned tasks.
• Keep learning and adapt as technology changes.
• Embrace ambiguity and work through unfamiliar problems.
• Choose simplicity over unnecessary complexity.
• Use AI effectively while validating its work.
• Think about the customer and the reliability of the systems they depend on.
• Share knowledge and help the team improve.

Why Black Book?

Black Book offers the scale and stability of Hearst while giving engineers the opportunity to work across modern cloud, Kubernetes, automation, data, and AI technologies.

Benefits include comprehensive health coverage, 401(k) with company match, HSA contributions, paid time off, volunteer days.

If you enjoy solving hard technical problems, automating repetitive work, and improving the way engineering teams operate, we'd like to talk.